Results 211 to 220 of about 8,159 (239)

Semi-tied covariance matrices for hidden Markov models

IEEE Transactions on Speech and Audio Processing, 1999
There is normally a simple choice made in the form of the covariance matrix to be used with continuous-density HMMs. Either a diagonal covariance matrix is used, with the underlying assumption that elements of the feature vector are independent, or a full or block-diagonal matrix is used, where all or some of the correlations are explicitly modeled ...
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Hidden Markov and semi-Markov models for count time series

2022
Hidden Markov models (HMMs) are models in which the distributionthat generates an observation depends on the state of an underlying and unobserved Markov process. HMMs have been employed in a variety of areas, including signal processing, bioinformatics, environment and ecology, and are noted for their flexibility and computational efficiency.
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Application of Hidden Markov Models and Hidden Semi-Markov Models to Financial Time Series [PDF]

, 2006
Hidden Markov Models (HMMs) and Hidden Semi-Markov Models (HSMMs) provide flexible, general-purpose models for univariate and multivariate time series. Although interest in HMMs and HSMMs has continuously increased during the past years, and numerous articles on theoretical and practical aspects have been published, several gaps remain.
openaire  

Adaptive Training for Hidden Semi-Markov Model

Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006
Junichi Yamagishi, Takao Kobayashi
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A time-efficient factorial hidden Semi-Markov model for non-intrusive load monitoring

Electric Power Systems Research, 2021
Huaiqing Zhang, Wenxiong Peng
exaly  

Human-robot collaboration empowered by hidden semi-Markov model for operator behaviour prediction in a smart assembly system

Journal of Manufacturing Systems, 2022
Chiuhsiang Joe Lin, Kung-Jeng Wang, Ahmed Abide Tadesse   +2 more
exaly  

ECG segmentation algorithm based on bidirectional hidden semi-Markov model

Computers in Biology and Medicine, 2022
Rui Huo, Liting Zhang, Feifei Liu
exaly  

Target Location Method Based on Compressed Sensing in Hidden Semi Markov Model

Electronics (Switzerland), 2022
Xin Tian, Guoliang Wei, Wei Guoliang
exaly  

Hidden Semi-Markov Model and Estimation

2008
Vlad Barbu, Nikolaos Limnios
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PM2.5 concentration prediction using hidden semi-Markov model-based times series data mining

Expert Systems With Applications, 2009
Ming Dong, David He, Serap Erdal
exaly